Air Sense: An Integrated Air Quality Monitoring System

Abstract

Air pollution is a significant public health concern in developing countries like Pakistan due to inadequate monitoring systems, poor enforcement of environmental regulations, and major pollution sources like vehicular emissions and industrial activities. This research project introduces innovative techniques tailored to Pakistani conditions. The project focuses on developing IoT devices with air quality sensors and GPS tracking, deployed on vehicles to monitor areas like markets and highways. Data collected is analyzed using machine learning for real-time air quality forecasting. The results will be displayed on a public website featuring heat maps, pollution level forecasts, and trends over time, aiming to provide accessible and actionable insights.